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Show current progress of the audit and implementation system — scanner completion, backlog counts, blockers.

Defensibility and switching cost analysis for bootstrapped founders. Assesses real vs. fake moats, user-investment lock-in, network effects, data advantages, distribution moats, and long-term defensibility. Use when user runs `/moat-analysis`, asks about "defensibility", "switching costs", "moat", "competitive advantage", "lock-in", "barriers to entry", or needs to understand what makes a business

This skill should be used when the user needs to create, generate, or visualize diagrams. It actively generates diagrams using the right tool for the right complexity level, following a tiered approach from simple ASCII to complex rendered images. Triggers on: drawing flowcharts, architecture diagrams, sequence diagrams, ER diagrams, state machines, mind maps, data charts, visualizing data, adding

Generate architecture diagrams, flowcharts, sequence diagrams, and system maps from actual codebase analysis. Use this skill whenever the user asks to "draw a diagram", "create a flowchart", "map the architecture", "visualize the system", "show me how X works as a diagram", "create an architecture chart", "generate a sequence diagram", "map the data flow", "show me the database schema", "what call

TAM/SAM/SOM analysis and competitive landscape mapping. Identifies beachhead markets and expansion opportunities with data-driven market sizing.

Build comprehensive 3-5 year financial models projecting revenue, expenses, headcount, cash flow, and runway. Model unit economics, scenario planning, and path to profitability. Generate investor-ready HTML reports with detailed projections and charts.

Hugging Face Transformers with PyTorch Lightning - LightningModule integration, distributed training (FSDP/DeepSpeed), PEFT (LoRA/QLoRA), data pipelines with HF Datasets, evaluation metrics, and common NLP tasks

SQL coding best practices and patterns. Use when working with SQL files, writing migrations, or reviewing schema design.

Build a customer health score model that predicts churn risk and expansion potential. Use this skill when a team needs a systematic, data-driven way to assess account health across the customer base.

Design a customer feedback survey that generates reliable, actionable data. Use this skill when a team needs to collect structured feedback at scale without the bias and noise that comes from poorly designed surveys.

Analyze funnel drop-off, retention curves, and cohort behavior to identify problems and opportunities. Use this skill when a team has data and needs to understand user behavior patterns.

Plan the event tracking and instrumentation needed to measure product behavior and support analytics. Use this skill when a feature is being built and the analytics implementation needs to be defined before development.